منابع مشابه
Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation algorithm. By comparing the accuracy of the very same algorithm, depending on whether or not it takes into account complementary semantic knowledge, they were able to show the benefit derived from such knowledge...
متن کاملMichael Hastings
Extraction of oil from Canadian tar sands is becoming increasingly contentious as it is claimed the process is one of the highest in terms of greenhouse gas emissions. But now, along with environmental campaigners, some shareholders in the companies that mine and fund tar sand oil are beginning to protest at the activity. British companies spearheading the drive to exploit the Canadian tar sand...
متن کاملSquibs and Discussions: Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation algorithm. By comparing the accuracy of the very same algorithm, depending on whether or not it takes into account complementary semantic knowledge, they were able to show the benefit derived from such knowledge...
متن کاملAvoiding East Hastings.
I was one of the 3000 doctors who descended on Vancouver, BC, in mid-October 2010 for Family Medicine Forum. My first trip to Vancouver meant there were many sights to see: Stanley Park, Chinatown, the waterfront, and Robson Street were all on my list. On planning my sightseeing, I asked the receptionist at the front desk of our hotel for directions to Chinatown. “Straight up Granville and then...
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ژورنال
عنوان ژورنال: Bulletin of the American Mathematical Society
سال: 1922
ISSN: 0002-9904
DOI: 10.1090/s0002-9904-1922-03570-7